Python - Pandas - Plot Data frame without headers

There are multiple ways to do this, some of which are directly through the pandas dataframe. However, given your sample plotting line, I think the easiest might be to just use matplotlib directly:

import matplotlib.pyplot as plt plt.plot(df.iloc[0:346,0],df.iloc[0:346,1:49]) 

For multiple axes you can add a few lines to make subplots. For example:

import matplotlib.pyplot as plt fig = plt.figure() ax1 = plt.subplot(1,2,1) plt.plot(df.iloc[0:346,0],df.iloc[0:346,1:10],ax=ax1) ax2 = plt.subplot(1,2,2) plt.plot(df.iloc[0:346,0],df.iloc[0:346,20:30],ax=ax2) 

You can also do this using the pandas plot() function that you were trying to use - it also takes an ax argument the same way as above, where you can provide the axis on which to plot. If you want to stick to pandas, I think you'd be best off setting the index to be a datetime index (see this link as an example: https://stackoverflow.com/a/27051371/12133280) and then using df.plot('column_name',ax=ax1). The x axis will be the index, which you would have set to be the date.